Early detection of subjective cognitive decline from self-reported symptoms: An interpretable attention-cost fusion approach
Abstract: Highlights•AI-based SCD prediction from self-reported symptoms for widespread screening.•Channel-wise attention in CNNs enhances feature representation for class imbalance.•Minority class cost allocation ensures balanced specificity and sensitivity.•Weighted feature selection highlights underrepresented features in imbalanced data.•SHAP interprets health, lifestyle, and demographics in SCD prediction.
External IDs:dblp:journals/jbi/AkterAHHIPFAE25
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